Overview
Hod Lipson directs the Creative Machines Lab at Columbia University, which works on machines that create and machines that are themselves creative; his work includes self-aware and self-replicating robots.
Verified record
- Verified deployments
- None on file
- Active incidents
- None on file
Data & sources
Web sources
2
2 sources backing this record.View all →
Models (1)
View all models →Columbia University Creative Machines Lab on the deployment map
View the global mapColumbia University Creative Machines Lab has no verified deployments on the DEPLOY registry yet. Explore the deployment map by place and type.
No verified deployments for Columbia University Creative Machines Lab on the DEPLOY record yet. Track Columbia University Creative Machines Lab to know the moment the first one is verified.
Current leadership (2)
- Hod Lipson Professor, Columbia University; Director, Creative Machines Labsecondary-verified
- Matei Ciocarlie Associate Professor of Mechanical Engineeringsecondary-verified
Safety record
No incidents on record for Columbia University Creative Machines Lab.
Only active incidents are counted. Retracted incidents are excluded from this summary but remain reachable at their canonical URLs.
Full safety record: incidents, sourcing, and exposure data →
Recent coverage
Columbia University Creative Machines Lab in third-party press
Peer companies
- Unitree Robotics12 models
- DJI9 models
- AgiBot6 models
- DLR Institute of Robotics and Mechatronics6 models
- Orbbec6 models
- Boston Dynamics5 models
Mentioned on (1)
Registry pages whose text names Columbia University Creative Machines Lab.
Robots and products (1)
Recent activity
Every change to this record is dated, sourced, and independently verified where marked.
- Record createdAug 9, 2026
Added to the verified registry
Sources (2)
Common questions
What is Columbia University Creative Machines Lab?
What does Columbia University Creative Machines Lab make?
Who competes with Columbia University Creative Machines Lab?
Where is Columbia University Creative Machines Lab headquartered?
Where does Columbia University Creative Machines Lab operate robots?
Is Columbia University Creative Machines Lab a top robotics company?
Is Columbia University Creative Machines Lab safe?
Methodology: Verified · 2 sources (no primary) · last reviewed 2026-10-21
Verification posture
Verified
Low confidence
Review state
Stable
Last reviewed 2026-10-21
Sources by quality tier
- 1
- unclassified
- Unclassified source
- 1
- knowledge-base
- Knowledge base
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for Columbia University Creative Machines Lab.Peer companies
- Unitree Robotics12 models
- DJI9 models
- AgiBot6 models
- DLR Institute of Robotics and Mechatronics6 models
- Orbbec6 models
- Boston Dynamics5 models
In the press
Recent coverage mentioning Columbia University Creative Machines Lab from third-party publications. Automatically surfaced; not part of the verified registry record.
Machine-readable surfaces
- Markdown mirror: /companies/columbia-robotics.md
- RSS feed: /companies/columbia-robotics/feed.xml
- JSON-LD: embedded in this page’s head
- REST API: /v1/companies/7ab5d5a8-d1bd-47d0-a4a2-ce2674caa504
- Revision history: /companies/columbia-robotics/history
- Data documentation: /data
- Query this programmatically: Deploy MCP
Peer companies
- Unitree Robotics12 models
- DJI9 models
- AgiBot6 models
- DLR Institute of Robotics and Mechatronics6 models
- Orbbec6 models
- Boston Dynamics5 models
Heat Index
Serious50/100
A composite of competitive footprint, funding, press velocity, active partnerships, and supply-chain edges. Different from the Intelligence score below (which is per-form-factor productization). Non-robotics companies cap at 25.
Reality vs attention
Columbia University Creative Machines Lab draws attention at the 5th percentile but verifies reality at the insufficient-data level among other robots.
6-month trend
Analysis
Limited public visibility and press coverage relative to peers.
Dimension breakdown
Verified signal
Attention (reach, not merit)
DEPLOY Intelligence scores are computed from verified registry data: confirmed deployments, disclosed funding rounds, regulatory filings, active job listings, video viewership, and press coverage. Confidence ratings reflect data availability. Scores update nightly.
DEPLOY Indices — verified vs claimed
Last computed: Nov 6, 2026